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Impact of lateral boundary and initial conditions in the prediction of Bay of Bengal cyclones using WRF model and its 3D-VAR data assimilation system

机译:WRF模型及其3D-VAR数据同化系统对孟加拉克朗湾预测横向边界和初始条件的影响及其3D-VAR数据同化系统

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This study examines the impact of lateral boundary conditions (LBCs) and initial conditions (ICs) in the prediction of land-falling tropical cyclones (TCs) using Weather Research and Forecasting (WRF) model and its three-dimensional variational (3D-VAR) data assimilation system for the Bay of Bengal (BoB) region. The LBCs are derived from the National Centre for Environmental Prediction (NCEP) Final (FNL) analysis and GFS forecasted datasets at different horizontal and temporal resolutions. The assimilated datasets in the model comprises of NCEP PREBUFR (PILOT, SOUND, SYNOP, METAR, SONDE, BUOY, SHIP and QuikSCAT) and satellite radiances from Advanced Microwave Sounding Unit (AMSU-A, AMSU-B), High Resolution Infra-Red Sounder (HIRS), Microwave Humidity Sounder (MHS) at different assimilation cycles. The impact of the LBCs with varying spatial and temporal resolutions are investigated in detail and the results indicate that the forecasted track during the first 48 h are not affected, however the subsequent forecasted track is significantly influenced by the 3 hourly GFS LBCs. The initial intensity, positional errors, and storm structure show improvements with the assimilation of NCEP PREBUFR and radiance observations at different assimilation cycles. Simulations carried out with improved initial conditions indicate that the forecast (in terms of track, intensity, and trends in the intensification and dissipation) of the cyclonic storm Sidr improved significantly. In addition, five severe land-falling BoB cyclones (Phailin, Lehar, Helen, Madi, and Hudhud) during 2013-2014 were studied using 3 hourly GFS LBCs and with assimilation of NCEP PREBUFR and satellite radiance observations. The results clearly signify the ability of the WRF modeling system in forecasting the track, intensity, and landfall of the storms. The forecasted mean track errors during 2013-2014 cyclones are 65 km, 58 km, 99 km, and 103 km from day-1 to day-4 respectively, while the initial positional er
机译:本研究研究了横向边界条件(LBC)和初始条件(ICS)对使用天气研究和预测(WRF)模型预测陆地下落热带气旋(TCS)的影响及其三维变分(3D-VAR)孟加拉湾(BOB)地区的数据同化系统。 LBCS来自国家环境预测中心(NCEP)最终(FNL)分析和GFS预测数据集,以不同的水平和时间分辨率。模型中的被同化的数据集包括来自先进微波探测单元(AMSU-A,AMSU-B),高分辨率红外线(AMSU-A,AMSU-B),高分辨率红外线(AMSU-A,AMSU-B),高分辨率红外线的卫星广域网不同同化周期的声音仪(HIRS),微波湿度发声器(MHS)。详细研究了LBC与不同的空间和时间分辨率的影响,结果表明,前48小时期间的预测轨道不受影响,但随后的预测曲线受到3小时GFS LBC的显着影响。初始强度,位置误差和风暴结构显示在不同同化循环中的NCEP预布序和辐射观测的同化的改进。随着改进的初始条件进行的模拟表明,对旋风炎风暴SIDR的轨迹,强度和散发趋势的轨道,强度和趋势而言,显着提高了预测。此外,使用3小时GFS LBC研究了2013-2014期间的五个严格的陆地下降鲍勃飓风(Phailin,Lehar,Helen,Madi和Hudhud),并通过Assmilation NCEP预设和卫星辐射观察。结果明确表示WRF建模系统在预测风暴的轨道,强度和降落中的能力。 2013 - 2014年飓风的预测平均轨道错误距离酒店有65公里,58公里,99公里,分别离Day-1至Day-4 103公里,而最初的位置er

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